# SalaryCube vs Comprehensive.io: which do AI models recommend for compensation benchmarkin, October 2026

HR AI Recommendation Index, October 2026 Edition, Compensation benchmarking data. Five of fourteen models named SalaryCube first on the direct prompt; zero named Comprehensive.io. Page: https://hr-ai-index.com/rewards/compensation-benchmarking-data/salarycube-vs-comprehensive-io/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| SalaryCube | 10% | #3 of 13 | 8% | 12 | 9 of 14 |
| Comprehensive.io | 7% | #6 of 13 | 0% | 10 | 10 of 14 |

## The direct prompt, model by model

- Grok 4.1 Fast: salarycube first (first choices: SalaryCube) (alternatives: Payscale, Salary.com CompAnalyst)
- Mistral Small: salarycube first (first choices: Ravio, SalaryCube) (alternatives: CompUp, Figures)
- Kimi K2: salarycube first (first choices: Payscale, SalaryCube) (alternatives: Figures, Pave, Ravio, Salary.com CompAnalyst)
- MiniMax M2.5: salarycube first (first choices: SalaryCube) (alternatives: CompUp, Lattice, Salary.com CompAnalyst)
- Muse Glimmer 30B: salarycube first (first choices: SalaryCube) (alternatives: Pave, Salary.com CompAnalyst)
- Claude Haiku 4.5: neither first, one named (first choices: Payscale) (alternatives: Comprehensive, Lattice, Pave, SalaryCube)
- Qwen 3.7 Flash: neither first, one named (first choices: Lattice) (alternatives: Comprehensive, Deel HR, Pave, SalaryCube)
- GPT-5.4 mini: neither named (first choices: Payscale) (alternatives: Mercer Total Remuneration Survey, Radford, WTW)
- Gemini 3.5 Flash: neither named (first choices: Pave) (alternatives: Figures, Payscale, Ravio, RepVue, Salary.com CompAnalyst)
- Perplexity Sonar: neither named (first choices: Ravio) (alternatives: CompUp, Pave, Payfactors, Payscale Ascent, Salary.com CompAnalyst)
- DeepSeek V4 Flash: neither named (first choices: Payscale) (alternatives: Pave, Salary.com CompAnalyst)
- Llama 4 Maverick: neither named
- GLM 4.7 FlashX: neither named (first choices: Pave, Payscale Ascent) (alternatives: Figures, Salary.com CompAnalyst)
- GPT-6 Luna: neither named (first choices: Pave) (alternatives: Mercer Total Remuneration Survey, Payscale, Radford)

## What the models said about SalaryCube

- "Good modern alternative, but less brand recognition and narrower vendor ecosystem." (DeepSeek V4 Flash, direct prompt, soft negative)
- "SalaryCube "leads for most U.S. organizations due to its daily-updated Bigfoot Live system, transparent pricing, and fast implementation."" (Muse Glimmer 30B, direct prompt, first choice)
- "SalaryCube and Ravio are frequently recommended due to their comprehensive data, ease of use, and fit for mid-market needs." (Mistral Small, direct prompt, first choice)
- "start with SalaryCube—it's highlighted as the deepest fit in multiple independent comparisons for your scale" (Grok 4.1 Fast, direct prompt, first choice)

## What the models said about Comprehensive.io

- "starting with free tools like Pave's free tier, Comprehensive.io, or the BLS is recommended" (Claude Haiku 4.5, budget prompt, first choice)
- "use Pave, Comprehensive.io, or Ravio (free tiers) for deeper, role‑specific insights" (GLM 4.7 FlashX, budget prompt, first choice)
- "Pave Market Data Lite (free) or Comprehensive.io (free)" (DeepSeek V4 Flash, budget prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.